Instructions to use tda45/TdAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tda45/TdAI with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="tda45/TdAI",
	filename="llama.cpp/models/ggml-vocab-aquila.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use tda45/TdAI with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf tda45/TdAI
# Run inference directly in the terminal:
llama cli -hf tda45/TdAI

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf tda45/TdAI
# Run inference directly in the terminal:
llama cli -hf tda45/TdAI

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf tda45/TdAI
# Run inference directly in the terminal:
./llama-cli -hf tda45/TdAI

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf tda45/TdAI
# Run inference directly in the terminal:
./build/bin/llama-cli -hf tda45/TdAI

Use Docker

docker model run hf.co/tda45/TdAI

LM Studio
Jan
Ollama
How to use tda45/TdAI with Ollama:
```
ollama run hf.co/tda45/TdAI
```

Unsloth Studio

How to use tda45/TdAI with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for tda45/TdAI to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for tda45/TdAI to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for tda45/TdAI to start chatting

Atomic Chat new
Docker Model Runner
How to use tda45/TdAI with Docker Model Runner:
```
docker model run hf.co/tda45/TdAI
```

Lemonade

How to use tda45/TdAI with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull tda45/TdAI

Run and chat with the model

lemonade run user.TdAI-{{QUANT_TAG}}

List all available models

lemonade list

TdAI / llama.cpp /cmake /common.cmake

tda45

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	include("ggml/cmake/common.cmake")

	function(llama_add_compile_flags)
	if (LLAMA_FATAL_WARNINGS)
	if (CMAKE_CXX_COMPILER_ID MATCHES "GNU" OR CMAKE_CXX_COMPILER_ID MATCHES "Clang")
	list(APPEND C_FLAGS -Werror)
	list(APPEND CXX_FLAGS -Werror)
	elseif (CMAKE_CXX_COMPILER_ID STREQUAL "MSVC")
	add_compile_options(/WX)
	endif()
	endif()

	if (LLAMA_ALL_WARNINGS)
	if (NOT MSVC)
	list(APPEND C_FLAGS -Wshadow -Wstrict-prototypes -Wpointer-arith -Wmissing-prototypes
	-Werror=implicit-int -Werror=implicit-function-declaration)

	list(APPEND CXX_FLAGS -Wmissing-declarations -Wmissing-noreturn)

	list(APPEND WARNING_FLAGS -Wall -Wextra -Wpedantic -Wcast-qual -Wno-unused-function)

	list(APPEND C_FLAGS ${WARNING_FLAGS})
	list(APPEND CXX_FLAGS ${WARNING_FLAGS})

	ggml_get_flags(${CMAKE_CXX_COMPILER_ID} ${CMAKE_CXX_COMPILER_VERSION})

	add_compile_options("$<$<COMPILE_LANGUAGE:C>:${C_FLAGS};${GF_C_FLAGS}>"
	"$<$<COMPILE_LANGUAGE:CXX>:${CXX_FLAGS};${GF_CXX_FLAGS}>")
	else()
	# todo : msvc
	set(C_FLAGS "" PARENT_SCOPE)
	set(CXX_FLAGS "" PARENT_SCOPE)
	endif()
	endif()

	if (NOT MSVC)
	if (LLAMA_SANITIZE_THREAD)
	message(STATUS "Using -fsanitize=thread")

	add_compile_options(-fsanitize=thread)
	link_libraries (-fsanitize=thread)
	endif()

	if (LLAMA_SANITIZE_ADDRESS)
	message(STATUS "Using -fsanitize=address")

	add_compile_options(-fsanitize=address -fno-omit-frame-pointer)
	link_libraries (-fsanitize=address)
	endif()

	if (LLAMA_SANITIZE_UNDEFINED)
	message(STATUS "Using -fsanitize=undefined")

	add_compile_options(-fsanitize=undefined)
	link_libraries (-fsanitize=undefined)
	endif()
	endif()
	endfunction()